meodai/skill.color-expert

Registry

Summary

A specialized agent skill that provides deep color science expertise, covering color spaces, accessibility standards (APCA, WCAG), palette generation, pigment mixing, and historical color theory. Compatible with Claude Code, Codex, Cursor, Copilot, and other AI coding tools.

Key features

• Comprehensive color space references
• Accessibility standards support (APCA, WCAG)
• Palette generation and pigment mixing guidance
• Historical color theory coverage
• Compatible with multiple AI coding assistants

Use cases

• Designing accessible user interfaces
• Generating harmonious color palettes
• Mixing digital pigments for art projects
• Applying historical color theory in design
• Ensuring WCAG compliance in web development

README excerpt

# color-expert An [agent skill](https://agentskills.io) that turns your coding agent into a color science expert. Built from resources I keep looking up, returning to, and sharing with others. ## What this is This started as a simple skill file with some color theory notes. Over time it grew into a comprehensive knowledge base as I kept pasting videos, articles, tools, and papers that I find myself referencing again and again — both for my own work building color tools and for explaining color concepts to others. The skill has three layers: 1. **`SKILL.md`** (~200 lines) — The "greatest hits" that your agent loads immediately. Key facts, corrections, tool recommendations, and guidelines that answer most color questions without needing to dig deeper. 2. **`references/INDEX.md`** (~220 lines) — A structured lookup table your agent can scan to find the right reference file for a specific topic. 3. **`references/`** (144 markdown files, ~286K words) — Deep reference material: full video transcripts, article summaries, library documentation, scraped websites, and research notes. There is also a lightweight **`evals/`** folder for realistic trigger and task prompts so the skill can be reviewed against actual usage instead of only edited by intuition. ## How it was built The collection process is simple: when I come across a color resource worth keeping — a YouTube video, a GitHub repo, a research paper, an article — I paste the URL and the skill's workflow captures it: - **Videos** get transcribed via [`yt-dlp`](https://github.com/yt-dlp/yt-dlp), summarized, and key concepts extracted - **PDFs and documents** get converted to markdown via [`markitdown`](https://github.com/microsoft/markitdown) by Microsoft - **GitHub repos** get their README/docs fetched and docume

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